CCRL 40/40
Downloads and Statistics
November 11, 2017
Testing summary:
Total: 754'213 games
played by 1'962 programs
103027 CPU days (X2 4600+)

White wins: 259'159 (34.4%)
Black wins: 192'263 (25.5%)
Draws: 302'791 (40.1%)
White score: 54.4%

Engine Details

Options
Show each game results
Hannibal 1.2 32-bit (2905+15
−15
)Quote
This is one of the 15 Hannibal versions we tested: Compare them!
OpponentEloDiffResultsScoreLOSPerf
–   Houdini 2.0c 32-bit3104+13
−13
(+199)5.5 − 24.5
(+3−22=5)
18.3%
5.5 / 30
0.0%
−54
1 0 0 0 0 = 0 0 0 0 0 0 = 0 1 0 0 0 0 0 1 0 = 0 = 0 0 0 0 =
–   Houdini 1.5a 32-bit3093+15
−15
(+188)6 − 24
(+1−19=10)
20.0%
6.0 / 30
0.0%
−17
0 0 0 0 0 = 0 = = 0 0 = 0 0 0 = = = 1 0 = 0 0 0 0 0 = = 0 0
–   Strelka 5.5 32-bit3091+16
−16
(+186)7 − 23
(+2−18=10)
23.3%
7.0 / 30
0.0%
+1
= 0 0 0 1 = 0 0 = 0 = 0 1 = = 0 = 0 0 0 0 0 = 0 0 0 = 0 = 0
–   Strelka 5.1 32-bit3086+17
−16
(+181)7.5 − 24.5
(+4−21=7)
23.4%
7.5 / 32
0.0%
−19
0 0 0 0 0 1 = = 0 0 0 0 0 = 1 1 0 0 0 0 = = 0 = 1 0 0 0 0 = 0 0
–   Critter 1.4 32-bit3076+15
−15
(+171)9.5 − 20.5
(+1−12=17)
31.7%
9.5 / 30
0.0%
+65
= 0 0 = = 0 = = 0 = 0 = 0 0 = 0 = = = = 1 0 = 0 0 = = 0 = =
–   Critter 1.6a 32-bit3070+16
−16
(+165)10 − 22
(+3−15=14)
31.3%
10.0 / 32
0.0%
+46
= = 0 1 1 = = 0 = = 0 0 = 0 0 1 0 0 = = = 0 = = 0 0 = 0 = 0 0 0
–   Critter 1.6 32-bit3068+20
−20
(+163)7.5 − 24.5
(+1−18=13)
23.4%
7.5 / 32
0.0%
−9
= = 0 0 0 = 0 1 0 = 0 0 = = 0 0 0 = = = = = 0 = 0 0 0 0 = 0 0 0
–   Alfil 15.7 64-bit3059+14
−14
(+154)2 − 4
(+0−2=4)
33.3%
2.0 / 6
0.0%
+59
0 = = = 0 =
–   Stockfish 2.2.2 32-bit3053+14
−14
(+148)6.5 − 23.5
(+2−19=9)
21.7%
6.5 / 30
0.0%
−52
1 0 1 0 0 0 = 0 = 0 0 0 = 0 0 = = = = = 0 0 0 0 0 0 = 0 0 0
–   Komodo 5 32-bit3049+16
−16
(+144)7 − 25
(+2−20=10)
21.9%
7.0 / 32
0.0%
−52
= 0 0 0 0 = 0 1 = 0 0 = = = 0 = 0 1 0 0 0 = 0 0 0 = 0 0 0 0 0 =
–   Stockfish 2.3.1 32-bit3042+17
−17
(+137)9 − 23
(+2−16=14)
28.1%
9.0 / 32
0.0%
0
= = = 0 = = = 0 0 0 0 0 0 1 0 0 0 0 1 0 = 0 0 0 = = = = 0 = = =
–   Vitruvius 1.11C 32-bit3033+15
−15
(+128)10 − 20
(+2−12=16)
33.3%
10.0 / 30
0.0%
+30
= 0 = 0 = 0 1 0 = = 0 = 0 = = 0 0 0 = = 1 0 0 = = 0 = = = =
–   Rybka 4.1 32-bit3032+12
−12
(+127)12.5 − 17.5
(+4−9=17)
41.7%
12.5 / 30
0.0%
+80
1 1 = = 0 0 = = = = = = 0 = 1 0 = = = 0 = = 0 = = 0 0 0 1 =
–   Komodo 4 32-bit3032+16
−16
(+127)12.5 − 17.5
(+4−9=17)
41.7%
12.5 / 30
0.0%
+81
1 = = = 1 0 = = = 1 = 0 = = 0 = = 0 0 = 0 = = = 0 0 0 = 1 =
–   IvanHoe 9.46h 32-bit3028+14
−14
(+123)11 − 19
(+3−11=16)
36.7%
11.0 / 30
0.0%
+47
0 = 1 = = = 0 = 0 0 1 = 1 = = = = = = 0 0 0 = = 0 0 = 0 = 0
–   Komodo 3 32-bit3024+14
−14
(+119)6.5 − 23.5
(+3−20=7)
21.7%
6.5 / 30
0.0%
−90
1 0 1 0 0 0 = = = 0 0 0 0 0 = = 0 0 0 0 0 0 1 0 0 0 0 = 0 =
–   DeepSaros 2.3j 32-bit3023+15
−15
(+118)7 − 23
(+1−17=12)
23.3%
7.0 / 30
0.0%
−56
= 0 0 = 0 = = 0 = 0 0 0 0 0 = = = 0 = 0 = 0 0 0 0 0 1 = = 0
–   Bouquet 1.5 32-bit3013+18
−17
(+108)10.5 − 21.5
(+3−14=15)
32.8%
10.5 / 32
0.0%
+3
0 = = = 0 0 0 1 0 = = = = 0 0 = 0 = = = = 0 1 0 = 0 0 1 = = 0 0
–   Sting SF 2 32-bit3005+17
−17
(+100)8 − 24
(+1−17=14)
25.0%
8.0 / 32
0.0%
−59
0 0 0 0 = 0 0 = 0 0 = 0 0 = 0 0 1 = = 0 = = = = 0 = 0 = 0 = 0 =
–   DeepSaros 3.0 32-bit3001+18
−18
(+96)10 − 22
(+3−15=14)
31.3%
10.0 / 32
0.0%
−23
0 0 0 = 1 = = 0 0 0 = = 0 0 1 = 0 0 0 = = = 0 1 = = 0 = 0 0 = =
–   Gull R375 64-bit2988+20
−20
(+83)0 − 4
(+0−4=0)
0.0%
0.0 / 4
0.0%
−INF
0 0 0 0
–   Gull II b2 32-bit2984+18
−18
(+79)12 − 20
(+4−12=16)
37.5%
12.0 / 32
0.0%
+3
0 = = 0 = 0 0 0 1 1 = 0 0 = = = 0 = = 0 = = 1 = 0 = 1 = = 0 0 =
–   Hiarcs 142963+11
−11
(+58)14 − 18
(+7−11=14)
43.8%
14.0 / 32
0.0%
+20
0 1 1 0 0 1 = = = = 0 0 0 0 = 0 = 1 = 1 = = 0 0 1 = = 1 0 = = =
–   Fritz 132963+11
−11
(+58)10 − 22
(+3−15=14)
31.3%
10.0 / 32
0.0%
−60
1 = 0 = = 0 = = 0 0 = = 0 0 = = 0 = = 0 0 0 0 = 1 0 0 0 = = 0 1
–   Naum 4.2 32-bit2960+10
−10
(+55)12 − 18
(+5−11=14)
40.0%
12.0 / 30
0.0%
−8
= = 0 0 1 0 = 0 = 0 0 0 = 1 0 = = 0 = = 1 = = 0 = = = 1 0 1
–   Hakkapeliitta 3.0 64-bit2957+14
−13
(+52)4 − 6
(+2−4=4)
40.0%
4.0 / 10
0.0%
−11
0 = 0 = = 0 = 0 1 1
–   Chiron 1.5 32-bit2945+17
−17
(+40)14.5 − 17.5
(+7−10=15)
45.3%
14.5 / 32
0.0%
+13
= 1 = 1 0 0 1 0 = 1 0 = 0 = = 1 0 0 0 = = 0 = 1 = = 0 1 = = = =
–   Deep Shredder 12 64-bit2943+9
−10
(+38)1.5 − 2.5
(+1−2=1)
37.5%
1.5 / 4
0.0%
−44
= 1 0 0
–   Deep Sjeng c't 20102942+10
−10
(+37)14 − 16
(+6−8=16)
46.7%
14.0 / 30
0.0%
+17
= 1 = = = 0 0 = = 0 1 = 1 0 1 = 1 0 = = = = 0 = = 0 = = 0 1
–   Shredder 12 32-bit2930+7
−7
(+25)27.5 − 32.5
(+10−15=35)
45.8%
27.5 / 60
0.1%
+1
1 1 = 0 = 0 = = = = = = 0 0 = = = = 0 = 1 0 = 0 1 = 0 = 1 = = = 1 0 1 0 0 = = 0 = = 0 0 = 1 1 0 = = = = = = = 1 = = = =
–   Chiron 1.1a 32-bit2930+15
−15
(+25)14 − 16
(+6−8=16)
46.7%
14.0 / 30
0.8%
+4
= = 0 = = 0 = 0 0 0 0 = = 0 = 1 = 1 1 = = 0 = 1 1 = 1 = = =
–   Spike 1.4 Leiden2921+8
−8
(+16)15 − 15
(+8−8=14)
50.0%
15.0 / 30
2.7%
+18
= 0 = 1 1 = 1 = 0 = = 0 0 = 1 0 1 = 1 = = = 1 0 = = 0 0 1 =
–   Rybka 2.3.2a 32-bit2913+9
−9
(+8)14.5 − 15.5
(+7−8=15)
48.3%
14.5 / 30
16.8%
−1
= = = 1 1 = = 0 1 = 0 = = = = = = 1 1 0 1 0 = = 0 0 1 = 0 0
–   Deep Junior 13.3 32-bit2910+15
−15
(+5)15 − 17
(+8−10=14)
46.9%
15.0 / 32
32.8%
−14
0 0 1 0 0 0 0 = 1 1 = = = 1 1 1 = = = = = = 0 1 = = = 1 0 = 0 0
–   Amoeba 2.6 64-bit2908+28
−28
(+3)5 − 3
(+3−1=4)
62.5%
5.0 / 8
43.0%
+76
= = 0 = = 1 1 1
–   Protector 1.4.0 64-bit2905+15
−15
(0)1.5 − 2.5
(+1−2=1)
37.5%
1.5 / 4
49.3%
−95
0 0 = 1
–   Spark 1.0 64-bit2895+12
−12
(−10)2.5 − 1.5
(+1−0=3)
62.5%
2.5 / 4
84.6%
+49
= = 1 =
–   Arasan 18.2 64-bit2889+29
−29
(−16)6 − 4
(+3−1=6)
60.0%
6.0 / 10
83.8%
+39
= = = 1 0 1 1 = = =
–   Gull 1.0a 32-bit2887+13
−13
(−18)14 − 16
(+6−8=16)
46.7%
14.0 / 30
96.9%
−34
1 0 0 = = 0 1 = 1 = = 0 1 = = = 1 = = = 0 = 0 0 = 0 = = 1 =
–   Quazar 0.4 32-bit2881+12
−12
(−24)17.5 − 16.5
(+9−8=17)
51.5%
17.5 / 34
99.4%
−17
= 0 0 1 1 0 = = = = = = = = = 1 = 0 0 1 = = 0 0 = 0 1 1 1 = = 1 1 =
–   Protector 1.4.0 32-bit2878+12
−12
(−27)14.5 − 15.5
(+8−9=13)
48.3%
14.5 / 30
99.8%
−40
0 1 = 1 1 0 = 0 = 1 = 0 = 0 1 1 0 1 = 0 = = 1 = 0 0 = = = =
–   Gull 1.2 32-bit2876+12
−12
(−29)16 − 14
(+8−6=16)
53.3%
16.0 / 30
99.9%
−11
0 1 = = = = = = 1 = 1 1 = 1 = 0 = = = 0 0 1 1 0 = 0 1 = = =
–   Rybka 1.2 32-bit2872+18
−18
(−33)3 − 1
(+2−0=2)
75.0%
3.0 / 4
99.7%
+117
= = 1 1
–   Stockfish 1.5.1 32-bit2865+15
−15
(−40)3 − 1
(+2−0=2)
75.0%
3.0 / 4
100.0%
+110
= = 1 1
–   Thinker 5.4d Inert 64-bit2863+17
−17
(−42)3 − 1
(+2−0=2)
75.0%
3.0 / 4
100.0%
+100
= 1 = 1
–   Deuterium 14.2.33.276 64-bit2859+25
−25
(−46)6.5 − 3.5
(+5−2=3)
65.0%
6.5 / 10
99.9%
+55
1 = 1 1 1 1 = 0 0 =
–   Toga II 3.02852+16
−16
(−53)3 − 1
(+3−1=0)
75.0%
3.0 / 4
100.0%
+183
1 0 1 1
–   Rodent 1.7 64-bit2852+19
−19
(−53)7 − 3
(+4−0=6)
70.0%
7.0 / 10
100.0%
+61
1 1 = = = = = 1 = 1
–   Naum 3 32-bit2849+19
−19
(−56)2 − 2
(+1−1=2)
50.0%
2.0 / 4
100.0%
−56
0 = = 1
–   Atlas 3.80 64-bit2848+14
−14
(−57)6.5 − 3.5
(+6−3=1)
65.0%
6.5 / 10
100.0%
+66
= 1 0 1 1 1 1 0 0 1
–   Andscacs 0.70 64-bit2848+28
−28
(−57)6 − 4
(+5−3=2)
60.0%
6.0 / 10
100.0%
+16
0 0 = 1 0 1 1 1 1 =
–   DisasterArea 1.65 64-bit2847+17
−17
(−58)7.5 − 2.5
(+5−0=5)
75.0%
7.5 / 10
100.0%
+96
= = = 1 1 1 = 1 = 1
–   Arasan 17.5 64-bit2842+25
−25
(−63)6 − 4
(+4−2=4)
60.0%
6.0 / 10
100.0%
0
0 = 0 1 1 1 = 1 = =
–   Dirty 3Nov2015 64-bit2838+16
−16
(−67)5 − 5
(+2−2=6)
50.0%
5.0 / 10
100.0%
−63
0 = = 0 = 1 = 1 = =
–   Pedone 1.3 64-bit2837+23
−23
(−68)6.5 − 3.5
(+5−2=3)
65.0%
6.5 / 10
100.0%
+31
1 1 = 1 0 = 0 = 1 1
–   NirvanaChess 1.8 64-bit2829+25
−25
(−76)6 − 4
(+4−2=4)
60.0%
6.0 / 10
100.0%
−7
1 0 = 1 = 0 = = 1 1
–   Texel 1.02 64-bit2829+28
−28
(−76)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
+51
= 1 = 1 1 1 1 = 0 =
–   DisasterArea 1.54 64-bit2828+18
−18
(−77)6 − 4
(+4−2=4)
60.0%
6.0 / 10
100.0%
−10
0 1 = 1 = 1 = 1 0 =
–   MinkoChess 1.3 32-bit2828+32
−32
(−77)5 − 5
(+1−1=8)
50.0%
5.0 / 10
100.0%
−77
= = = = = 1 0 = = =
–   The Baron 3.41 64-bit2823+34
−34
(−82)5.5 − 2.5
(+4−1=3)
68.8%
5.5 / 8
100.0%
+40
= 1 1 1 0 1 = =
–   Tornado 6.0 64-bit2821+21
−21
(−84)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
+44
1 0 = 1 = 1 1 = 1 =
–   EXchess 7.51b 64-bit2817+27
−27
(−88)6.5 − 3.5
(+5−2=3)
65.0%
6.5 / 10
100.0%
+15
0 1 = 1 1 = = 1 0 1
–   GNU Chess 5.60 64-bit2815+20
−20
(−90)6 − 4
(+3−1=6)
60.0%
6.0 / 10
100.0%
−34
1 1 = = = = = = 1 0
–   Rodent II 0.8.7 64-bit2810+27
−27
(−95)8.5 − 1.5
(+7−0=3)
85.0%
8.5 / 10
100.0%
+158
= = 1 1 1 1 = 1 1 1
–   Deuterium 14.1.32.119 64-bit2810+25
−25
(−95)5 − 5
(+3−3=4)
50.0%
5.0 / 10
100.0%
−95
0 1 = 0 1 1 0 = = =
–   DiscoCheck 5.0.1 64-bit2806+33
−33
(−99)7 − 3
(+4−0=6)
70.0%
7.0 / 10
100.0%
+15
= 1 1 1 = 1 = = = =
–   Cheng4 0.36c 64-bit2799+18
−18
(−106)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
+21
1 1 = = 1 1 = = 0 1
–   Nemo 1.0.1 32-bit2796+29
−29
(−109)2.5 − 1.5
(+2−1=1)
62.5%
2.5 / 4
100.0%
−13
1 1 0 =
–   Arasan 17.1 64-bit2792+31
−31
(−113)6 − 4
(+4−2=4)
60.0%
6.0 / 10
100.0%
−45
0 = = 0 = = 1 1 1 1
–   Arasan 17.2 64-bit2790+28
−28
(−115)4.5 − 3.5
(+3−2=3)
56.3%
4.5 / 8
100.0%
−77
1 1 1 0 0 = = =
–   Atlas 3.70em 64-bit2788+22
−22
(−117)2.5 − 1.5
(+2−1=1)
62.5%
2.5 / 4
100.0%
−34
0 = 1 1
–   Bobcat 6.4b 64-bit2788+24
−24
(−117)3.5 − 2.5
(+2−1=3)
58.3%
3.5 / 6
100.0%
−58
= 0 = 1 = 1
–   Crafty 23.6 64-bit2787+27
−27
(−118)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
+13
= = = 1 = 1 1 0 1 1
–   Arasan 16.3 64-bit2783+28
−28
(−122)7 − 3
(+6−2=2)
70.0%
7.0 / 10
100.0%
+25
1 1 0 1 1 1 = 1 0 =
–   Octochess r5506 64-bit2779+21
−21
(−126)8.5 − 1.5
(+7−0=3)
85.0%
8.5 / 10
100.0%
+124
1 = 1 = = 1 1 1 1 1
–   EXchess 7.31b 64-bit2777+27
−28
(−128)6.5 − 3.5
(+3−0=7)
65.0%
6.5 / 10
100.0%
−48
1 = = = = 1 = 1 = =
–   Octochess r5190 64-bit2772+15
−15
(−133)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
0
= 1 1 1 1 1 = 0 = =
–   Crafty 24.0 64-bit2772+28
−28
(−133)4 − 2
(+2−0=4)
66.7%
4.0 / 6
100.0%
−39
= 1 = 1 = =
–   EXchess 7.26b 64-bit2772+27
−27
(−133)7.5 − 2.5
(+5−0=5)
75.0%
7.5 / 10
100.0%
+15
= = 1 = = = 1 1 1 1
–   NirvanaChess 1.4 64-bit2763+31
−31
(−142)8 − 2
(+6−0=4)
80.0%
8.0 / 10
100.0%
+53
= = = 1 1 = 1 1 1 1
–   Andscacs 0.64 64-bit2751+25
−25
(−154)8 − 2
(+7−1=2)
80.0%
8.0 / 10
100.0%
+76
1 1 1 1 1 1 = 1 0 =
–   NirvanaChess 1.3 64-bit2748+31
−31
(−157)7.5 − 2.5
(+5−0=5)
75.0%
7.5 / 10
100.0%
−2
= 1 = = 1 1 = 1 = 1
–   Cheng4 0.36a 64-bit2747+30
−30
(−158)8.5 − 1.5
(+7−0=3)
85.0%
8.5 / 10
100.0%
+94
1 1 = = 1 1 1 1 = 1
–   Arasan 16.1 64-bit2730+32
−32
(−175)6.5 − 3.5
(+4−1=5)
65.0%
6.5 / 10
100.0%
−81
= 1 0 = = 1 = 1 = 1
–   Tucano 6.00 64-bit2727+16
−16
(−178)5.5 − 4.5
(+4−3=3)
55.0%
5.5 / 10
100.0%
−141
1 0 1 0 = 1 = = 0 1
–   Cheng4 0.35a 64-bit2718+30
−30
(−187)7 − 3
(+5−1=4)
70.0%
7.0 / 10
100.0%
−55
= 0 1 1 1 1 = 1 = =
–   Arasan 16.0 64-bit2711+32
−32
(−194)8.5 − 1.5
(+7−0=3)
85.0%
8.5 / 10
100.0%
+58
= 1 1 = 1 1 1 1 = 1

Rating changes by day

Rating changes with played games

Participation in the pure lists

Pure listRankRatingNumber of games
Hannibal 1.2 32-bit
played with current
participants of this list
Represented by
1-2-CPU    174Hannibal 1.7 64-bit
32-bit    524Hannibal 1.3 32-bit
32-bit 1-2-CPU    528Hannibal 1.3 32-bit
32-bit single-CPU    528Hannibal 1.3 32-bit
All    60Hannibal 1.7 64-bit 4CPU
Free    102Hannibal 1.7 64-bit 4CPU
Free 1-2-CPU    112Hannibal 1.7 64-bit
Free 32-bit#102906338itself
Free 32-bit 1-2-CPU    308Hannibal 1.3 32-bit
Free 32-bit single-CPU    308Hannibal 1.3 32-bit
Free single-CPU    112Hannibal 1.7 64-bit
Single-CPU    174Hannibal 1.7 64-bit

Created in 2005-2013 by CCRL team
Last games added on November 11, 2017